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List of algorithms - Wikipedia An algorithm is fundamentally a set of rules or defined procedures that is typically designed and used to solve a specific problem or a broad set of problems Broadly, algorithms define process (es), sets of rules, or methodologies that are to be followed in calculations, data processing, data mining, pattern recognition, automated reasoning or other problem-solving operations With the
Algorithm - Wikipedia Flowchart of using successive subtractions to find the greatest common divisor of number r and s In mathematics and computer science, an algorithm ( ˈælɡərɪðəm ⓘ) is a finite sequence of mathematically rigorous instructions, typically used to solve a class of specific problems or to perform a computation [1] Algorithms are used as specifications for performing calculations and
Analysis of algorithms - Wikipedia Run-time analysis is a theoretical classification that estimates and anticipates the increase in running time (or run-time or execution time) of an algorithm as its input size (usually denoted as n) increases Run-time efficiency is a topic of great interest in computer science: A program can take seconds, hours, or even years to finish executing, depending on which algorithm it implements
Timeline of algorithms - Wikipedia The following timeline of algorithms outlines the development of algorithms (mainly "mathematical recipes") since their inception
Search algorithm - Wikipedia Visual representation of a hash table, a data structure that allows for fast retrieval of information In computer science, a search algorithm is an algorithm designed to solve a search problem Search algorithms work to retrieve information stored within particular data structure, or calculated in the search space of a problem domain, with either discrete or continuous values Although search
Online algorithm - Wikipedia For other points of view on online inputs to algorithms, see streaming algorithm: focusing on the amount of memory needed to accurately represent past inputs; dynamic algorithm: focusing on the time complexity of maintaining solutions to problems with online inputs
Introduction to Algorithms - Wikipedia Introduction to Algorithms is a book on computer programming by Thomas H Cormen, Charles E Leiserson, Ronald L Rivest, and Clifford Stein The book is described by its publisher as "the leading algorithms text in universities worldwide as well as the standard reference for professionals" [1] It is commonly cited as a reference for algorithms in published papers, with over 10,000 citations
Sorting algorithm - Wikipedia Merge sort In computer science, a sorting algorithm is an algorithm that puts elements of a list into an order The most frequently used orders are numerical order and lexicographical order, and either ascending or descending Efficient sorting is important for optimizing the efficiency of other algorithms (such as search and merge algorithms) that require input data to be in sorted lists
Divide-and-conquer algorithm - Wikipedia Divide and conquer is a powerful tool for solving conceptually difficult problems: all it requires is a way of breaking the problem into sub-problems, of solving the trivial cases, and of combining sub-problems to the original problem Similarly, decrease and conquer only requires reducing the problem to a single smaller problem, such as the classic Tower of Hanoi puzzle, which reduces moving
Navigational algorithms - Wikipedia Obtaining the height line Marcq St Hilaire The navigational algorithms are the quintessence of the executable software on portable calculators or smartphones as an aid to the art of navigation, this attempt article describe both algorithms and software for smartphones implementing different calculation procedures for navigation The calculation power obtained by the languages—Basic, C, Java